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Study on Various Image Detection Procedures for Plant Diseases


Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India
 

Plant diseasedetection is developing field in India as farming is imperative segment in Economy and Social life. Earlier unscientific systems were in presence. Steadily with specialized and logical headway, more solid routines through most reduced turnaround time are created and proposed for right on time location of plant disease. In this paper, we concentrated on and assessed existing strategies for identification of plant diseases like k-means clustering, edge detection and feature extraction to get clear viewpoint about the systems and techniques followed. The discovery of plant disease is altogether in light of sort of family plants and same is did in the stages as segmentation and clustering.

Keywords

Plant Disease, K-Means Clustering, Edge Detection, Segmentation, Feature Extraction and Classifier.
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  • Study on Various Image Detection Procedures for Plant Diseases

Abstract Views: 149  |  PDF Views: 0

Authors

Geetu Yadav
Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India
Dipti Bansal
Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India

Abstract


Plant diseasedetection is developing field in India as farming is imperative segment in Economy and Social life. Earlier unscientific systems were in presence. Steadily with specialized and logical headway, more solid routines through most reduced turnaround time are created and proposed for right on time location of plant disease. In this paper, we concentrated on and assessed existing strategies for identification of plant diseases like k-means clustering, edge detection and feature extraction to get clear viewpoint about the systems and techniques followed. The discovery of plant disease is altogether in light of sort of family plants and same is did in the stages as segmentation and clustering.

Keywords


Plant Disease, K-Means Clustering, Edge Detection, Segmentation, Feature Extraction and Classifier.